Chartis RiskTech Quadrant® for AI Governance Solutions recognizes six areas of strength:
- Model Coverage: SAS Viya supports a broad range of model types, including traditional ML, GenAI, LLMs and agentic systems.
- Governance: SAS helps firms mitigate AI and model risks, enabling automated enforcement of AI risk frameworks and regulations.
- Data Management: SAS capabilities emphasize data privacy and protection, visibility and benchmarking/mapping, while Viya's unified platform handles structured/unstructured data with audit trails.
- Model Management: SAS MRM expertise is a foundational pillar of its AI governance strategy, underpinning a forward-thinking approach to AI model risk at all stages of use and implementation.
- Visualization: SAS Viya provides visibility of the entire ecosystem via auditable reports, traceability dashboards and explainability tools designed to detail agentic AI decision-making.
- Workflow: The SAS platform supports unified workflows to help manage AI models, with a focus on automating governance tasks.
The RiskTech Quadrant for AI governance solutions is included in the Chartis report “Governance, Resilience and Compliance Solutions, 2025 – Digital Resilience: Quadrant Update."
The SAS Viya platform includes leading governance capabilities that extend classic machine learning model risk management, explainability, bias detection, privacy protection and end-to-end monitoring to the broader enterprise AI environment. By combining these capabilities with its deep expertise in regulated industries, SAS is in a position to demonstrate AI as a growth strategy for clients and prospects.” Michael Versace Chartis
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고객 사례
Intelligent, real-time fraud decisions in 50 milliseconds -
웨비나
The Sector Series | Game Changing AI Technology for Governments: Computer Vision -
분석 보고서
SAS는 The Forrester Wave ™로부터 202년 4분기 실시간 상호작용 관리 리더로 선정되었습니다. -
분석 보고서
Datos Matrix: Fraud and AML Case Management, 2025 -
웨비나
Credit Risk Decisioning Using Intelligent Decisioning on SAS® Viya® -
E-BOOK
Decisions you can trust: A strategic guide to trustworthy data and AI decision making -
백서
Building a foundation for innovation: Five steps to keep your AML program efficient and effective -
백서
Explainable Artificial Intelligence for Anti-Money Laundering -
백서
How AI and Machine Learning Are Redefining Anti-Money Laundering -
분석 보고서
The Forrester Wave™: Anti-Money Laundering Solutions, Q2 2025 -
백서
Rethinking risk: Smarter models, better decisions -
분석 보고서
Chartis RiskTech Quadrant for AML Transaction Monitoring Solutions, 2024 -
E-BOOK
5 Steps to a Unified Enterprise Customer Decisioning Strategy -
분석 보고서
IDC MarketScape: Worldwide Decision Intelligence 2024 -
고객 사례
Revolutionizing fraud detection at Techcombank -
고객 사례
Making faster, smarter credit decisions while elevating customer experience -
고객 사례
Modern, real-time marketing grew membership and incremental sales for leading grocery retailer -
고객 사례
European Banking-as-a-Service leader strengthens its AML/CFT and fraud surveillance system with SAS -
기사
Next generation anti-money laundering: robotics, semantic analysis and AI -
고객 사례
Jakarta Smart City uses IoT analytics to better serve residents -
기사
4 strategies that will change your approach to fraud detection -
분석 보고서
SAS, 2023년 2분기 The Forester Wave™: AI 기반 의사결정 플랫폼 부문 리더로 선정되다 -
고객 사례
Combating financial crime and terrorism financing with real-time sanctions screening -
백서
Proactive anti-financial crime strategies to improve compliance and reduce risk -
고객 사례
Stopping payment fraud in real time -
고객 사례
One airport operator is making every journey personal for passengers -
고객 사례
Finland’s top retail bank applies AI to improve customer service and credit scoring -
고객 사례
Real-time analytics helps telecom provider adapt to changing customer needs during global pandemic and beyond -
고객 사례
Fighting financial crime through a global anti-money laundering platform -
고객 사례
Complex telco product portfolio, maximum agility thanks to intelligent decisioning -
기사
Managing fraud risk: 10 trends you need to watch -
고객 사례
자금세탁 범죄에 맞서는 이스라엘의 위험 기반 전략 -
기사
Next generation anti-money laundering: robotics, semantic analysis and AI -
백서
AI Is at the Forefront of Reducing Money Laundering and Combating the Financing of Terrorism -
고객 사례
북유럽 120개 은행의 범죄 예방 및 규정 준수 -
고객 사례
Fast analytical defense -
고객 사례
자금세탁 방지 활동을 지원하는 분석 기술 -
기사
Mobile payments, smurfs and emerging threats -
기사
Rethink customer due diligence -
웨비나
ESP Project Containers – How to Enhance ESP Models Deployment and Operationalization -
웨비나
Real-Time Agent Assist and Next-Gen Strategy for Financial Services -
웨비나
Orchestrating Your Multi-Wave Campaigns Through Scheduled Journeys -
웨비나 Reinforcing Compliance Programs: Future-Proofing with SAS
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웨비나
2022 Trends in Digital Fraud: ATOs, Scams and Solutions -
웨비나
Shell game shutdown: Redefining trade transaction monitoring with automation and analytics -
웨비나
Journey to AML Modernization -
웨비나
Generative AI Meets AML: Elevating Compliance Standards in Banking -
웨비나
Real-Time Watchlist Screening: Unlocking Efficiency and Compliance With SAS and Neterium -
웨비나
Not All Heroes Wear Capes: How AI and Data Help Stop Money Laundering in the Opioid Crisis -
웨비나
The Sector Series | Game Changing AI Technology for Governments: An Introduction to Artificial and Generative Intelligence for Public Sector Leaders -
웨비나
Empowering Government Efficiency with SAS Managed Cloud Services on Microsoft Azure Government -
웨비나
The Sector Series | Game Changing AI Technology for Governments: Machine Learning -
백서
Intelligent Decision Automation for Telecommunications in the Digital Age -
E-BOOK
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FAQs
What is the Chartis RiskTech Quadrant® for AI governance solutions report?
It’s an independent analysis that evaluates AI governance solutions, highlighting vendor strengths and market trends.
Why is SAS recognized as a leader?
In this Chartis evaluation, SAS’ Category Leader placement reflects how it has developed MRM capabilities for generative AI (GenAI) with real-time anomaly detection – a vital feature as AI tools become more deeply embedded across the business.
How can SAS help my organization with AI governance solutions?
SAS ensures AI remains safe, trustworthy, and compliant with regulations, mitigating risks such as bias and misuse. Effective AI governance balances innovation with ethical responsibility.
What does "AI governance" mean?
It refers to the framework of policies, procedures, and ethical standards that govern and oversee the development, deployment, and operation of trustworthy AI systems.